Model Drift Detection & Retraining Orchestrator

Build a production monitoring system that detects data and concept drift for deployed ML models, automatically schedules retraining pipelines or alerts data scientists, and tracks model lineage and performance over time. Implement retraining gates (validation metrics, bias checks) and canary rollout for new models. Provide explainability snapshots for comparison and audit trails for regulatory needs.